Moderators of Physical Activity and Quality of Life Response to a Physical Activity Intervention for Breast Cancer Survivors
Bibliographic record
Abstract
Abstract Purpose Moderate-to-vigorous physical activity (MVPA) can improve quality of life (QoL) for breast cancer survivors (BCS); yet most do not achieve 150 + weekly minutes of MVPA. This study investigated moderators of response to a physical activity (PA) behavior change intervention for BCS. Methods BCS (N = 222) were randomized to the 3-month intervention (BEAT Cancer) or usual care. Measurements occurred at baseline, post-intervention, and 3 months post-intervention. Measures included accelerometry, self-reported MVPA, and Functional Assessment of Cancer Therapy (FACT-General, FACT-Breast, physical well-being [PWB], social well-being [SWB], emotional well-being [EWB], functional well-being [FWB], additional concerns [AC], and Trial Outcome Index (TOI). Results Adjusted linear mixed-model analyses indicated individuals ≤ 24 months post-diagnosis who were single reported smaller increases in weekly MVPA than those > 24 months (44.07 vs 111.93) and partnered (-16.24 vs. 49.16 min), all p’s < 0.05. As for QoL, participants < 12 months post-diagnosis who received chemotherapy experienced smaller improvements than those ≥ 12 months in FACT-General, FACT-Breast, PWB, SWB scores. Survivors with a history of chemotherapy had smaller improvements in FACT-General, FACT-Breast, PWB, SWB, TOI, and AC scores, all p’s < 0.05. Conclusion These findings indicate that being < 2 years post-diagnosis, single, and having history of chemotherapy may limit MVPA and QOL responses to a physical activity intervention. Further studies are needed to determine if and/or what additional PA supports and resources these subgroups of BCS might find beneficial and effective. Trial Registration: ClinicalTrials.gov number: NCT00929617
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".